Instructions to use hf-tiny-model-private/tiny-random-ElectraModel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-tiny-model-private/tiny-random-ElectraModel with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-tiny-model-private/tiny-random-ElectraModel")# Load model directly from transformers import AutoTokenizer, AutoModel tokenizer = AutoTokenizer.from_pretrained("hf-tiny-model-private/tiny-random-ElectraModel") model = AutoModel.from_pretrained("hf-tiny-model-private/tiny-random-ElectraModel") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1c12e2c2ed222fc7a625532ba825433fe60057c79129baaa85065caecfc0fd06
- Size of remote file:
- 1.01 MB
- SHA256:
- fb23bf86d1a297f6995e59eb94ba750ad7df505728d347d9ac3634a6d1cc4ed9
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